Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture

Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture

Abstract Classifying medical images is essential in computer-aided diagnosis (CAD). Although the recent success of deep learning in the classification tasks has proven advantages over the traditional feature extraction techniques, it remains challenging due to the inter and intra-class similarity ca...

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Bibliographic Details
Main Authors: Junaid Aftab, Muhammad Attique Khan, Sobia Arshad, Shams ur Rehman, Dina Abdulaziz AlHammadi, Yunyoung Nam
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Healthcare
Medical imaging
Deep learning
Self attention
Fusion
Prediction
Online Access:https://doi.org/10.1038/s41598-025-93718-7
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https://doi.org/10.1038/s41598-025-93718-7

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